scholarly journals RISK FACTORS FOR POST-STROKE DEPRESSION IN COHORT STUDY OF PATIENTS SUFFERING FIRST-EVER STROKE: RESULTS OF LOGISTIC REGRESSION ANALYSIS

2019 ◽  
pp. 103-107
Author(s):  
М.А. Savina ◽  
A.N. Simonov ◽  
Е.А. Петрова
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Logistic Regression Analysis ◽  
Post Stroke ◽  
Post Stroke Depression

scholarly journals Anemia during different trimesters of pregnancy and hypertensive disorders are associated with adverse maternal and perinatal outcomes in Bekwai Municipality, Ghana: protocol for a prospective cohort study.

2019 ◽  
Author(s):  
Kwabena Acheampong ◽  
Xiongfeng Pan ◽  
Aizhong Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Birth Outcomes ◽  
Prospective Cohort Study ◽  
Logistic Regression Analysis ◽  
Prospective Cohort ◽  
Perinatal Outcomes ◽  
Baseline Characteristics

Abstract Background: Data examining whether anemia during different trimesters of pregnancy affects maternal and birth outcomes is lacking. Studies typically look at associations between risk factors and anemia or anemia and birth outcomes but have limited information as to whether birth outcomes differ with different trimesters of anemia. The main objective of this study is to determine whether anemia during different trimesters of pregnancy and hypertension disorders is associated with adverse maternal and perinatal outcomes in Ghana.Methods: This will be a primary analysis of data from a hospital-based prospective cohort study in four selected hospitals in the Bekwai Municipality, Ghana from February 2020 to August 2020. All singleton pregnancy at less than 20 weeks to women with at least one hemoglobin measure during pregnancy will be included. The risk of maternal and perinatal outcomes will be measured. Descriptive statistics will be used to describe the baseline characteristics of our cohort. Baseline characteristics of the two groups will be compared using Pearson Chi-square (χ2) test for categorical variables; the independent t-test and Mann–Whitney U test for parametric and nonparametric continuous variables, respectively. The risk associated with anemia and maternal and perinatal outcomes, using the history of anemia (Hb<11g/dL) in different trimesters will be calculated by logistic regression analysis, conditional on the baseline covariates. Possible confounding variables will be identified from background data, obstetric risk factors, and health behaviors. Multivariate analysis of significant effects (p<0.05) will be based on multiple logistic regression analysis. Confidence intervals will be evaluated at 95%. Data will be coded and examined using the SPSS program IBM version 20.Discussion: The better understanding of whether anemia during different trimesters of pregnancy and hypertension disorders is associated with adverse maternal and perinatal outcomes in Bekwai Municipality of Ghana. This study will establish targets for early intervention and identify risk factors to save and improve the lives of pregnant women and inborn by developing solutions that promote the quality and accountability of health services for the most vulnerable. These findings will be served as a policy document to governments in designing effective programs to curb the increasing prevalence of anemia and its associated health consequences.

scholarly journals Risk factors associated with surgical site infections after thoracic or lumbar surgery: a 6-year single centre prospective cohort study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Vera Spatenkova ◽  
Ondrej Bradac ◽  
Zdenek Jindrisek ◽  
Jan Hradil ◽  
Daniela Fackova ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Wound Complications ◽  
Multivariate Logistic Regression ◽  
Single Centre

Abstract Background Surgical site infection (SSI) is a risk in every operation. Infections negatively impact patient morbidity and mortality and increase financial demands. The aim of this study was to analyse SSI and its risk factors in patients after thoracic or lumbar spine surgery. Methods A six-year single-centre prospective observational cohort study monitored the incidence of SSI in 274 patients who received planned thoracic or lumbar spinal surgery for degenerative disease, trauma, or tumour. They were monitored for up to 30 days postoperatively and again after 1 year. All patients received short antibiotic prophylaxis and stayed in the eight-bed neurointensive care unit (NICU) during the immediate postoperative period. Risk factors for SSI were sought using multivariate logistic regression analysis. Results We recorded 22 incidences of SSI (8.03%; superficial 5.84%, deep 1.82%, and organ 0.36%). Comparing patients with and without SSI, there were no differences in age (p=0.374), gender (p=0.545), body mass index (p=0.878), spine diagnosis (p=0.745), number of vertebrae (p=0.786), spine localization (p=0.808), implant use (p=0.428), American Society of Anesthesiologists (ASA) Score (p=0.752), urine catheterization (p=0.423), drainage (p=0.498), corticosteroid use (p=0.409), transfusion (p=0.262), ulcer prophylaxis (p=0.409) and diabetes mellitus (p=0.811). The SSI group had longer NICU stays (p=0.043) and more non-infectious hospital wound complications (p<0.001). SSI risk factors according to our multivariate logistic regression analysis were hospital wound complications (OR 20.40, 95% CI 7.32–56.85, p<0.001) and warm season (OR 2.92, 95% CI 1.03–8.27, p=0.044). Conclusions Contrary to the prevailing literature, our study did not identify corticosteroids, diabetes mellitus, or transfusions as risk factors for the development of SSI. Only wound complications and warm seasons were significantly associated with SSI development according to our multivariate regression analysis.

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

scholarly journals Risk Factors for Mortality in Melioidosis: A Single-Centre, 10-Year Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Raviraj Menon ◽  
Poornima Baby ◽  
Anil Kumar V. ◽  
Sandeep Surendran ◽  
Manu Pradeep ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Therapeutic Benefits ◽  
Chi Square Analysis

Melioidosis is a tropical infectious disease with diverse clinical presentations. We aimed to investigate the characteristics and mortality risk factors of patients diagnosed with melioidosis in the past 10 years. This was a retrospective cohort study conducted at a quaternary care centre in South India. Clinical, demographic, and biochemical data in patients diagnosed with melioidosis with cultures were collected between January 2011 and December 2020 from medical records. Logistic regression analysis was performed to screen mortality risk factors of melioidosis in addition to descriptive statistics and chi-square analysis. Seventy-three melioidosis patients’ records were analysed, and the most common comorbidity was type 2 diabetes mellitus (n = 53, 72.6%). The patients showed diverse presentations: pulmonary involvement, 30 (41.1%); splenomegaly, 29 (39.7%); abscesses and cutaneous involvement, 18 (24.7%); lymph node, 10 (13.7%); arthritis and osteomyelitis, 9 (12.3%); and genitourinary infection, 4 (5.4%). The mortality was noted to be 15 (20.5%). Logistic regression analysis indicated that chronic kidney disease (OR = 14.0), CRP >100 IU/L (OR = 6.964), and S. albumin <3 gm/dl (OR = 8.0) were risk factors associated with mortality and can guide in risk stratification. Hypoalbuminemia is a novel mortality risk factor, detected in this study, and requires further investigation to validate its utility as a prognostic marker and reveal possible therapeutic benefits in clinical correction.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p &lt; 0.001), larger volume of expander (200–400 ml vs &lt;200 ml; OR, 1.74; p = 0.032; &gt;400 ml vs &lt;200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of &lt;1 year, expander volume of &gt;200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

Characteristics of Adenocarcinoma of the Gallbladder Following Cholecystectomies in the Hispanic Population

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S64-S65
Author(s):  
David Gustafson ◽  
Osvaldo Padilla
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Incidental Finding ◽  
Conditional Logistic Regression ◽  
Gallbladder Disease ◽  
Predictor Variables ◽  
Wall Thickening ◽  
Conditional Logistic Regression Analysis

Abstract Introduction Gallbladder adenocarcinoma (GBC) is a rare malignancy. Frequency of incidental adenocarcinoma of the gallbladder in the literature is approximately 0.2% to 3%. Typically, GBC is the most common type and is discovered late, not until significant symptoms develop. Common symptoms include right upper quadrant pain, nausea, anorexia, and jaundice. A number of risk factors in the literature are noted for GBC. These risk factors are also more prevalent in Hispanic populations. This study sought to compare patients with incidental gallbladder adenocarcinomas (IGBC) to those with high preoperative suspicion for GBC. Predictor variables included age, sex, ethnicity, radiologic wall thickening, gross pathology characteristics (wall thickness, stone size, stone number, and tumor size), histologic grade, and staging. Methods Cases of GBC were retrospectively analyzed from 2009 through 2017, yielding 21 cases. Data were collected via Cerner EMR of predictor variables noted above. Statistical analysis utilized conditional logistic regression analysis. Results The majority of patients were female (n = 20) and Hispanic (n = 19). There were 14 IGBCs and 7 nonincidental GBCs. In contrast with previous research, exact conditional logistic regression analysis revealed no statistically significant findings. For every one-unit increase in AJCC TNM staging, there was a nonsignificant 73% reduction in odds (OR = 0.27) of an incidental finding of gallbladder carcinoma. Conclusion This study is important in that it attempts to expand existing literature regarding a rare type of cancer in a unique population, one particularly affected by gallbladder disease. Further studies are needed to increase predictive knowledge of this cancer. Longer studies are needed to examine how predictive power affects patient outcomes. This study reinforces the need for routine pathologic examination of cholecystectomy specimens for cholelithiasis.

scholarly journals Clinical profile and factors determining outcome of intramural very low birth weight babies in a tertiary care centre: a retrospective study

2017 ◽  
Vol 5 (2) ◽  
pp. 520
Author(s):  
Devi Meenakshi K. ◽  
Arasar Seeralar A. T. ◽  
Srinivasan Padmanaban
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Logistic Regression Analysis ◽  
Very Low Birth Weight ◽  
Tertiary Care ◽  
P Value ◽  
Increased Risk

Background: Very low birth weight (VLBW) babies are at increased risk of a number of complications both immediate and late. Worldwide it has been observed that these babies contribute to a significant extent to neonatal mortality and morbidity. Aim of the study was to study the risk factors contributing to mortality in VLBW babies and to evaluate the morbidity pattern in these infants.Methods: A retrospective analysis of data retrieved from the case records of VLBW babies admitted in the NICU of Kilpauk Medical College between January 2015 to December 2015. Out of the 2360 intramural babies admitted during the study period, 99 babies were less than 1500 gms. The risk factors for these babies were analyzed for their association with the outcome. Data were statistically analyzed.Results: In present study, we found that sex of the baby, gestational age, obstetric score, birth asphyxia, pulmonary haemorrhage, ROP and presence of shock were found to be associated with increased mortality. By logistic regression analysis it was observed that birth weight of the baby (p value 0.002), duration of stay (p value 0.0006), presence of shock (p<0.0001), were the risk factors significantly associated with poor outcome.Conclusions: Among the maternal and neonatal factors analyzed in the study using logistic regression analysis, birth weight, duration of hospital stay and presence of shock were significantly related to poor outcome. Of these presence of shock was the single most important factor that predicted increased mortality.

scholarly journals Late Acute Kidney Injury is a Poor Prognosis Sign in Severe Burns: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Bo You ◽  
Zi Chen Yang ◽  
Yu Long Zhang ◽  
Yu Chen ◽  
Yun Long Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Poor Prognosis ◽  
Multiple Logistic Regression Analysis ◽  
Kidney Injury ◽  
Occurrence Rate ◽  
Severe Burns ◽  
Epidemiological Characteristics

Abstract BackgroundAcute kidney injury (AKI) is a morbid complication and the main cause of multiple organ failure and death in severely burned patients. The objective of this study was to explore the epidemiological characteristics, the risk factors, and impact of both early and late AKIs, respectively.MethodsThis retrospective study was performed with prospectively collected data of severely burned patients from the Institute of Burn Research in Southwest Hospital during 2011-2017. AKI was diagnosed according to Kidney Disease Improving Global Outcomes (KDIGO) criteria (2012), and it was divided into early and late AKIs depending on its onset time (within the first 3 days or >3 days post burn). The baseline characteristics, clinical data, and outcomes of the three groups (early AKI, late AKI and non-AKI) were compared using logistic regression analysis. Mortality predictors of patients with AKI were assessed.ResultsA total of 637 patients were included in analysis. The incidence of AKI was 36.9% (early AKI 29.4%, late AKI 10.0%). The mortality of patients with AKI was 32.3% (early AKI 25.7%, late AKI 56.3%), and that of patients without AKI was 2.5%. AKI was independently associated with obviously increased mortality of severely burned patients [early AKI, OR = 12.98 (6.08-27.72); late AKI, OR = 34.02 (15.69-73.75)]. Multiple logistic regression analysis revealed that age, gender, total burn surface area (TBSA), full-thickness burns of TBSA, chronic comorbidities (hypertension or/and diabetes), hypovolemic shock of early burn, and tracheotomy were independent risk factors for both early and late AKIs. However, sepsis was only a risk factor for late AKI. Decompression escharotomy was a protective factor for both AKIs. ConclusionsAKI remains prevalent and is associated with high mortality in severely burned patients. Compared with early AKI, late AKI has a lower occurrence rate, but greater severity and worse prognosis，is a devastating complication. Late AKI is a poor prognosis sign in severe burns.

scholarly journals Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

2021 ◽  
Author(s):  
Elisabetta Schiaroli ◽  
Anna Gidari ◽  
Giovanni Brachelente ◽  
Sabrina Bastianelli ◽  
Alfredo Villa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Critical Illness ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Severe Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

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